Journal ArticleDOI
Offshore system safety and reliability considering microbial influenced multiple failure modes and their interdependencies
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TLDR
In this article, a hybrid methodology for the prediction of system reliability, considering multiple failure modes' interdependencies, is presented for robust offshore system reliability prediction considering complex multispecies biofilms.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2021-11-01. It has received 31 citations till now.read more
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Operational Subsea pipeline Assessment Affected by Multiple Defects of Microbiologically Influenced Corrosion
Mohammad Reza Hairi Yazdi,Mohammad Reza Hairi Yazdi,Rebecca Martina Kohl,Faisal Khan,Faisal Khan,Rouzbeh Abbassi,Rouzbeh Abbassi +6 more
TL;DR: In this paper, the authors present a systematic approach to evaluate the time interval of optimal maintenance strategy for the subsea process system influenced by Microbiological Influenced Corrosion (MIC) within multiple defects.
Journal ArticleDOI
A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines
Mohammad Javad Ahmadiyan Yazdi,Faisal Khan,Rouzbeh Abbassi,Noor Quddus,Homero Castaneda-Lopez +4 more
TL;DR: In this paper , the authors present a systematic attempt to identify the gaps, needs, and challenges of microbiologically influenced corrosion (MIC) in risk-based decision-making models.
Journal ArticleDOI
Offshore pipeline integrity assessment considering material and parametric uncertainty
TL;DR: In this paper, the authors presented a methodology that integrates the semi-empirical corrosion models with probabilistic analysis to study steel structural failure behavior considering material and parametric uncertainties.
Dynamic logistics disruption risk model for offshore supply vessel operations in Arctic waters
Sidum Adumene,Modestus O. Okwu,Mohammad Reza Hairi Yazdi,Mawuli Afenyo,Rabiul Islam,Charles Ugochukwu Orji,Francis Obeng,Floris Goerlandt +7 more
TL;DR: In this paper, the authors present a proactive methodology that integrates the Pure-Birth Markovian process (PBMP) with the Bayesian network (BN) for the effective analysis of offshore logistics disruption risk.
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Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model
TL;DR: Wang et al. as discussed by the authors proposed a novel method to quantify risk coupling of subsea blowout accidents based on dynamic Bayesian network (DBN) and NK model, and the developed model is validated by a three-axiom-based method.
References
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Book
Structural Reliability: Analysis and Prediction
TL;DR: Measures of Structural Reliability Assessment, including second-Moment and Transformation Methods, and Probabilistic Evaluation of Existing Structures.
Book
Copula methods in finance
TL;DR: The author examines the implications of Sklar's theorem in financial applications: toward a non-Black-Scholes world for derivatives pricing, Hedging and Risk Management and the application of VaR bounds to copulas.
Journal ArticleDOI
Reliability of pipelines with corrosion defects
TL;DR: In this article, the reliability of pipelines with corrosion defects subjected to internal pressure using the first-order reliability method (FORM) is defined based on the results of a series of small-scale experiments and three-dimensional nonlinear finite element analysis of the burst pressure of intact and corroded pipelines.
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Corrosion uncertainty modelling for steel structures
TL;DR: In this article, a probabilistic phenomenological model for time-dependent material loss of mild and low-alloy steels in immersion conditions is presented, along with a review of various factors of importance in marine corrosion.